Learning from data streams (incremental learning) is increasingly attracting research focus
due to many real-world streaming problems and due to many open challenges, among …

Context: Previous studies have indicated that the stability of Just-In-Time Software Defect
Prediction (JIT-SDP) models can change over time due to various factors, including …

Context: To reduce the cost of software maintenance and testing is necessary to discover
and examine the parts of the code that are defect-prone. Large-scale research has …

The evolution of data such as changes in the underlying model known as concept drift
present many challenges for data stream research. Currently most drift detection methods …

A extração de conhecimento em ambientes com fluxo contínuo de dados é uma atividade
que vem crescendo progressivamente. Diversas são as situações que necessitam desse …

RCD is a framework for dealing with recurring concept drifts. It reuses previously stored
classifiers that were trained on examples similar to actual data, through the use of …